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Uncertainty in surface wind speed projections over the Iberian Peninsula: CMIP6 GCMs versus a WRF-RCM.
Andres-Martin, Miguel; Azorin-Molina, Cesar; Shen, Cheng; Fernández-Alvarez, José C; Gimeno, Luis; Vicente-Serrano, Sergio M; Zha, Jinlin.
Afiliación
  • Andres-Martin M; Climate, Atmosphere and Ocean Laboratory (Climatoc-Lab), Centro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas (CIDE, CSIC-UV-Generalitat Valenciana), Moncada, Spain.
  • Azorin-Molina C; Climate, Atmosphere and Ocean Laboratory (Climatoc-Lab), Centro de Investigaciones sobre Desertificación, Consejo Superior de Investigaciones Científicas (CIDE, CSIC-UV-Generalitat Valenciana), Moncada, Spain.
  • Shen C; Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden.
  • Fernández-Alvarez JC; Centro de Investigación Mariña, Universidade de Vigo, Environmental Physics Laboratory (EPhysLab), Campus As Lagoas s/n, Ourense, Spain.
  • Gimeno L; Departamento de Meteorología, Instituto Superior de Tecnologías y Ciencias Aplicadas, Universidad de la Habana, La Habana, Cuba.
  • Vicente-Serrano SM; Centro de Investigación Mariña, Universidade de Vigo, Environmental Physics Laboratory (EPhysLab), Campus As Lagoas s/n, Ourense, Spain.
  • Zha J; Instituto Pirenaico de Ecología, Consejo Superior de Investigaciones Científicas (IPE-CSIC), Zaragoza, Spain.
Ann N Y Acad Sci ; 1529(1): 101-108, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37715781
ABSTRACT
This study assessed the projected near-surface wind speed (SWS) changes and variability over the Iberian Peninsula for the 21st century. Here, we compared Coupled Model Intercomparison Project Phase 6 global climate models (GCMs) with a higher spatial resolution regional climate model (RCM; ∼20 km), known as WRF-CESM2, which was created by a dynamic downscaling of the Community Earth System Model version 2 (CESM2) using the Weather Research and Forecasting (WRF) model. Our analysis found that the GCMs tended to overestimate observed SWS for 1985-2014, while the higher spatial resolution of the WRF-CESM2 did not improve the accuracy and underestimated the SWS magnitude. GCMs project a decline of SWS under high shared socioeconomic pathways (SSPs) greenhouse concentrations, such as SSP370 and SSP585, while an interdecadal oscillation appears in SSP126 and SSP245 for the end of the century. The WRF-CESM2 under SSP585 predicts the opposite increasing SWS. Our results suggest that 21st-century projections of SWS are uncertain even for regionalized products and should be taken with caution.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cinarizina / Modelos Climáticos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Ann N Y Acad Sci Año: 2023 Tipo del documento: Article País de afiliación: España

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cinarizina / Modelos Climáticos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Ann N Y Acad Sci Año: 2023 Tipo del documento: Article País de afiliación: España
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